Senior Data Engineer: Fleet AI Metrics & Geospatial

Medium; Santa Clara (CA); On-site; USD 130,000 - 200,000; Full time

Benefits offered by this job

401(k) plan

Catered free lunch

Unlimited snacks and beverages

Competitive salary and benefits

Job summary

PlusAI in Silicon Valley is seeking an engineer to own the end-to-end data loop: metrics, pipelines, and analysis for autonomous truck performance, including where behavior changes on the map. You will primarily work in Python across large-scale data processing, geospatial analytics, evaluation frameworks, and LLM-powered automation.

We welcome engineers from data engineering, analytics, geospatial, evaluation, or robotics backgrounds; prior autonomous-vehicle experience is helpful but not

Qualifications

• BS, MS, or PhD in Computer Science, engineering, or a related technical field
• Proficiency in Python with experience building scalable data processing systems
• Experience analyzing large-scale time-series, event, or geospatial data
• Experience building LLM-powered or agentic workflows
• Ability to solve open-ended technical challenges and communicate findings
• Self-driven with a strong sense of ownership

Responsibilities

• Define and compute driving performance metrics and scalable pipelines
• Analyze road-test and simulation data to identify trends and anomalies
• Build geospatial analytics over fleet driving data
• Develop data foundations and tooling for release management
• Create AI agentic workflows to triage issues at scale
• Ensure work aligns with the Quality Management System (QMS) and drives improvement

Skills

Python

Data processing

Time-series / geospatial

LLM workflows

Ownership

Communication

Education

BS/MS/PhD in CS or related field

Tools

Apache Spark

Airflow

Argo Workflows

LangChain

LangGraph

PostGIS

GeoPandas

Job description

PlusAI in Silicon Valley is seeking an engineer to own the end-to-end data loop: metrics, pipelines, and analysis for autonomous truck performance, including where behavior changes on the map. You will primarily work in Python across large-scale data processing, geospatial analytics, evaluation frameworks, and LLM-powered automation.

We welcome engineers from data engineering, analytics, geospatial, evaluation, or robotics backgrounds; prior autonomous-vehicle experience is helpful but not